Top Azure Jobs in Melbourne

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Lead the delivery of scalable data platforms, design robust data architectures, and provide technical leadership while collaborating with stakeholders to deliver impactful data solutions.

Design, build, and deploy production-grade AI solutions (agents, RAG, MCP servers). Analyse business processes, integrate APIs and cloud platforms, establish prompt engineering and developer standards, manage projects, and upskill client teams.

Provide remote and onsite technical software support for cardiovascular imaging products: troubleshoot clinical production issues, analyze/prioritize tickets, assist installations/configuration, advise on infrastructure and workflows, maintain documentation, participate in on-call rotation, and support customer success.

Lead and shape solution architecture across the Listings portfolio, stay hands-on with prototypes and critical code, align technical strategy across multiple squads, drive modernization and resilient platform solutions, participate in product discovery, and mentor senior engineers to elevate engineering practices and system health.

The Azure Architect will design and implement Azure solutions, utilizing Automation, DevOps, and IaC methodologies, ensuring security and performance.

The Customer Site Reliability Engineer (CSRE) ensures service reliability and performance, manages complex systems, leads customer escalations, and collaborates with teams to improve service stability and delivery through automation and incident response.

Build AI-powered client products from discovery through production using full-stack engineering, AI coding tools, prompt and context engineering, and critical validation of generated outputs. Develop frontend and backend features, support testing, QA, DevOps, and CI/CD, while collaborating directly with client engineering, product, and domain teams. Translate ambiguous business needs into production-ready systems, communicate clearly with stakeholders, and contribute to consulting engagements in a hybrid Sydney-based environment.

The Senior Pega System Architect designs and implements Pega solutions for government services, ensuring alignment with policies, security standards, and best practices. Responsibilities include guiding junior developers, troubleshooting issues, and delivering high-quality systems on time.

Support threat intelligence, incident analysis/response, penetration test coordination, vulnerability scanning and remediation tracking, security tool administration, dashboard maintenance, and adherence to security policies while learning and developing cybersecurity skills.

Provide technical support for Microsoft AD, Azure, Microsoft 365 and Exchange environments; troubleshoot desktops, servers, firewalls and networks; work with cloud platforms (Azure, Entra, Hyper-V, Citrix, AWS); use ticketing systems; collaborate with senior engineers on projects and maintain secure, stable customer environments while building trusted relationships.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Design and deliver scalable analytics solutions and models, create specifications for engineering, work with complex cloud-hosted datasets, apply advanced data science and ML methods, support product roadmaps, mentor and coordinate across global teams.

Design, train, and deploy machine learning models focused on customer experience and fraud detection. Work with large datasets, optimize model performance, implement real-time scalable deployments, and collaborate with fraud, product, and engineering teams while applying MLOps and CI/CD best practices.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

Design, implement, automate, and support enterprise-scale Azure cloud infrastructure and CI/CD pipelines. Modernize platforms, deploy and operate Kubernetes environments, build monitoring and alerting, troubleshoot networking and performance issues, and ensure cloud security. Lead and coach junior DevOps engineers, collaborate with Engineering, Security, QA, and Operations, and participate in agile ceremonies to deliver scalable, reliable deployments.

Serve as the final technical escalation for Support, diagnose and reproduce complex issues across integrations and workflows, partner with Engineering and Product, improve escalation pathways and documentation, analyze logs/observability, and support enterprise customers with integrations, SSO, and ERP systems.

Drive full-cycle enterprise sales of Cyera's cloud data security platform across ANZ. Prospect, qualify, present tailored value propositions, negotiate with C-suite, close large complex deals, grow partner channels, and collaborate with cross-functional teams. Travel ~50% as required.

Pre-sales technical lead focused on enterprise telco/carrier and cloud security deployments. Drive engineering outcomes, build executive relationships, produce proposals/RFI/RFP responses, lead PoCs and workshops, and represent Fortinet solutions (FortiGate, FortiManager, FortiAnalyzer). Advise on 4G/5G network and cloud security, SDN, and multi-cloud architectures while supporting product and account strategy.

As a Site Reliability Engineer, you will enhance cloud platform reliability, troubleshoot issues, and improve service performance, collaborating across teams.

Provide L2/L3 IT support, manage Azure services, corporate network devices, Active Directory, and cloud infrastructure, ensuring reliable IT Security systems while collaborating in a global team.

As a Senior AI Engineer, you will develop and implement AI capabilities to enhance business processes and customer experiences, collaborating with teams to deliver scalable solutions.

The Principal Customer Solutions Engineer designs, implements, and leads mainframe modernization projects, providing technical solutions and customer support while managing project risks and team dynamics.

Embed with strategic customers to prototype, build, and productionize full-stack AI and agentic applications. Advise on AI strategy, codify repeatable solution patterns, mentor teams, and feed product improvements.